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Question 21 - ARA-C01 discussion

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What are characteristics of Dynamic Data Masking? (Select TWO).

A.
A masking policy that Is currently set on a table can be dropped.
Answers
A.
A masking policy that Is currently set on a table can be dropped.
B.
A single masking policy can be applied to columns in different tables.
Answers
B.
A single masking policy can be applied to columns in different tables.
C.
A masking policy can be applied to the value column of an external table.
Answers
C.
A masking policy can be applied to the value column of an external table.
D.
The role that creates the masking policy will always see unmasked data In query results
Answers
D.
The role that creates the masking policy will always see unmasked data In query results
E.
A masking policy can be applied to a column with the GEOGRAPHY data type.
Answers
E.
A masking policy can be applied to a column with the GEOGRAPHY data type.
Suggested answer: A, B

Explanation:

Dynamic Data Masking is a feature that allows masking sensitive data in query results based on the role of the user who executes the query. A masking policy is a user-defined function that specifies the masking logic and can be applied to one or more columns in one or more tables. A masking policy that is currently set on a table can be dropped using the ALTER TABLE command. A single masking policy can be applied to columns in different tables using the ALTER TABLE command with the SET MASKING POLICY clause. The other options are either incorrect or not supported by Snowflake. A masking policy cannot be applied to the value column of an external table, as external tables do not support column-level security. The role that creates the masking policy will not always see unmasked data in query results, as the masking policy can be applied to the owner role as well. A masking policy cannot be applied to a column with the GEOGRAPHY data type, as Snowflake only supports masking policies for scalar data types.Reference:Snowflake Documentation: Dynamic Data Masking,Snowflake Documentation: ALTER TABLE

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asked 23/09/2024
Daniel Kuzmanovski
34 questions
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